I am currently trying to make a project in neural networks using R for generating numerical predictions.
The data set contains 4 numerical predictor variables and 1 numerical response variable.
I know about the theoretical aspects of ANN. I am aware of the packages nnet, neuralnet, learNN.
Can anyone please suggest resources or write an article about how to implement Neural Networks in R.
I need help specifically for:
- Which functions and packages to use and how to use them?
- How to interpret the output of the functions used?
- How to tweak the model by adjusting various parameters like weights or size or delay etc. to get the best accurate model?
- Visualizing the model.
- Evaluation and checking the accuracy.
- Any other suggestions…